Lossless data embedding using generalized statistical quantity histogram

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dc.contributor.author Gao, X
dc.contributor.author An, L
dc.contributor.author Yuan, Y
dc.contributor.author Tao, D
dc.contributor.author Li, X
dc.date.accessioned 2012-10-12T03:33:44Z
dc.date.issued 2011-08
dc.identifier.citation IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21 (8), pp. 1061 - 1070
dc.identifier.issn 1051-8215
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/18250
dc.description.abstract Histogram-based lossless data embedding (LDE) has been recognized as an effective and efficient way for copyright protection of multimedia. Recently, a LDE method using the statistical quantity histogram has achieved good performance, which utilizes the similarity of the arithmetic average of difference histogram (AADH) to reduce the diversity of images and ensure the stable performance of LDE. However, this method is strongly dependent on some assumptions, which limits its applications in practice. In addition, the capacities of the images with the flat AADH, e.g., texture images, are a little bit low. For this purpose, we develop a novel framework for LDE by incorporating the merits from the generalized statistical quantity histogram (GSQH) and the histogram-based embedding. Algorithmically, we design the GSQH driven LDE framework carefully so that it: 1) utilizes the similarity and sparsity of GSQH to construct an efficient embedding carrier, leading to a general and stable framework; 2) is widely adaptable for different kinds of images, due to the usage of the divide-and-conquer strategy; 3) is scalable for different capacity requirements and avoids the capacity problems caused by the flat histogram distribution; 4) is conditionally robust against JPEG compression under a suitable scale factor; and 5) is secure for copyright protection because of the safe storage and transmission of side information. Thorough experiments over three kinds of images demonstrate the effectiveness of the proposed framework. © 2011 IEEE.
dc.language eng
dc.relation.isbasedon 10.1109/TCSVT.2011.2130410
dc.title Lossless data embedding using generalized statistical quantity histogram
dc.type Journal Article
dc.parent IEEE Transactions on Circuits and Systems for Video Technology
dc.journal.volume 8
dc.journal.volume 21
dc.journal.number 8 en_US
dc.publocation Piscataway en_US
dc.identifier.startpage 1061 en_US
dc.identifier.endpage 1070 en_US
dc.cauo.name FEIT.A/DRsch Ctr Quantum Computat'n & Intelligent Systs en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 111502
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Generalized statistical quantity histogram
dc.description.keywords lossless data embedding
dc.description.keywords reversibility
dc.description.keywords video and image watermarking
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)

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